7.1 Least Squares: The Line of “Best Fit”
7.2 The Linear Model
7.3 Finding the Least Squares Line
7.4 Regression to the Mean
7.5 Examining the Residuals
7.6 R2—The variation Accounted For by the Model
7.7 Regression Assumptions and Conditions

9.1 Straightening Scatterplots – The Four Goals
9.2 Finding a Good Re-Expression

Part III: Gathering Data

10. Understanding Randomness

10.1 What Is Randomness?
10.2 Simulating by Hand

11. Sample Surveys

11.1 The Three Big Ideas of Sampling
11.2 Populations and Parameters
11.3 Simple Random Samples
11.4 Other Sampling Designs
11.5 From the Population to the Sample: You Can’t Always Get What You Want
11.6 The valid Survey
11.7 Common Sampling Mistakes, or How to Sample Badly

17.1 Sampling Distribution of a Proportion
17.2 When Does the Normal Model Work? Assumptions and Conditions
17.3 The Sampling Distribution of Other Statistics
17.4 The Central Limit Theorem: The Fundamental Theorem of Statistics
17.5 Sampling Distributions: A Summary

22.1 The Standard Deviation of a Difference
22.2 Assumptions and Conditions for Comparing Proportions
22.3 A Confidence Interval for the Difference Between Two Proportions
22.4 The Two Sample z-Test: Testing for the Difference Between Proportions
22.5 A Confidence Interval for the Difference Between Two Means
22.6 The Two-Sample t-Test: Testing for the Difference Between Two Means
22.7 The Pooled t-Test: Everyone into the Pool?